Results 41 to 50 of about 297,933 (284)
Anchorage‐independent and faster growth in clonal population from UV‐irradiated NER‐deficient cells
UV‐irradiated cells expressing a DDB2 mutant protein unable to interact with PCNA (DDB2PCNA‐) form clones able to grow without anchorage. Different experimental approaches reveal heterogeneity in cell cycle regulation and drug response within these clones, emphasizing the crucial role of the DDB2‐PCNA interaction in preventing cellular transformation ...
Paola Perucca +6 more
wiley +1 more source
Solving the General Fuzzy Random Bilevel Programming Problem Through
This paper addresses the general fuzzy random bilevel programming problem in which not only both objective functions, but also the constraints contain fuzzy random variable coefficients.
Aihong Ren
doaj +1 more source
Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance
NPM1 mutations drive acute myeloid leukemia by acting as neomorphic transcriptional regulators that cooperate with Menin–MLL and XPO1 to sustain HOX/MEIS1 expression and block differentiation. Targeting these mutant‐specific transcriptional dependencies provides a rational therapeutic strategy for NPM1‐mutated AML.
Yanan Jiang +3 more
wiley +1 more source
Stochastic utility-efficient programming of organic dairy farms [PDF]
Opportunities to make sequential decisions and adjust activities as a season progresses and more information becomes available characterise the farm management process.
G., Lien, O., Flaten
core
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
Finiteness theorems in stochastic integer programming
We study Graver test sets for families of linear multi-stage stochastic integer programs with varying number of scenarios. We show that these test sets can be decomposed into finitely many ``building blocks'', independent of the number of scenarios, and ...
Aschenbrenner, Matthias +1 more
core +2 more sources
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Nursing workforce management is a challenging decision-making task in hospitals. The decisions are made across different timescales and levels from strategic long-term staffing budget to mid-term scheduling.
Fang He, Thierry Chaussalet, Rong Qu
doaj +1 more source
Stochastic Programming with Probability [PDF]
In this work we study optimization problems subject to a failure constraint. This constraint is expressed in terms of a condition that causes failure, representing a physical or technical breakdown.
Andrieu, Laetitia +2 more
core +4 more sources
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source

